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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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of the project The laboratory is mainly interested in RNA-biology and particularly to understand how regulatory RNAs function and control microbial virulence. In this project, we aim to identify small molecules
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potential applications. In particular, we focus on evolutionary prediction: can we use a deeper understanding of evolvability to predict and, potentially, control evolutionary processes? Read more about our
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changes, cancer cells can evade the strict control on growth and form a tumor. New studies emphasize the importance of communication between tumor cells and the surrounding tissue for cancer to develop
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initiative. Teaching skills. Additional assessment criteria: Experience in spectroscopy or microscopy data analysis. Experience in development of optical setups and writing software for instrument control
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must have taken relevant higher education pedagogical courses. Requirements: Doctorate in computer science, mathematics, or similar. Strong command of both written and spoken English language
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fishes, both in the field and in controlled experiments at our state-of-the-art stream laboratory at Karlstad University. The research questions will be focused on the host function and suitability
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of climate change in agricultural landscapes. About the position The objectives of the work include: 1) To determine how changes in precipitation patterns modify processes and microorganisms controlling
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wavelengths, control of fluid flow, and mass and heat transfer. The team has a strong background in advanced nanofabrication methods including 3D lithography and multimodal X-ray characterization method
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. This process will focus on controlling the metal content, metal distribution, and microstructure of the pellets to better simulate real-world conditions. Spent nuclear fuel contains a complex mixture of chemical